Results 221 to 230 of about 4,829,196 (302)

Dense121GAN: transfer learning-enhanced conditional generative adversarial network with DenseNet121 for reliable and efficient segmentation in medical and industrial imaging. [PDF]

PeerJ Comput Sci
Davud M.
europepmc   +1 more source

Automated diagnosis of keratitis from low-quality slit-lamp images using an improved generative adversarial network. [PDF]

NPJ Digit Med
Jiang J, Song S, Yao Q, Li K, Lin T, Xin Y, Cui Y, Wang N, Bai Y, Luo X, Chen W, Zhu M, He L, Li Z.   +13 more
europepmc   +1 more source

Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review

Journal of Medical Radiation Sciences, EarlyView.
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad, Aoife O Sullivan, Yasser H. Hadi, Laura McLaughlin, Andrew England, Mark McEntee   +5 more
wiley   +1 more source

Synthesizing lumbar computed tomography myelography from plain computed tomography images using a cycle-consistent generative adversarial network. [PDF]

N Am Spine Soc J
Itoga R, Kokabu T, Kato K, Hyugaji Y, Wakasa J, Yanagibashi Y, Hyakumachi T, Hojo Y, Nagahama K, Kanayama M, Fujita R, Shimizu T, Endo T, Ohnishi T, Ukeba D, Sudo H, Yamada K, Iwasaki N.   +17 more
europepmc   +1 more source

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

Journal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho, Daniel Cruz Cavalieri, Adilson Ribeiro Prado   +2 more
wiley   +1 more source

Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution. [PDF]

J Imaging
Lu H, Zhang J, Jing M, Wang Z, Wang W.
europepmc   +1 more source

Unlocking Value Co‐Creation in IoT Platforms: Insights From a Collaborative Manufacturing Case

Strategic Change, EarlyView.
ABSTRACT This study examines value co‐creation in IoT platform ecosystems through a case study of the collaborative manufacturing platform E‐LINK. We explore the evolution of platform data capabilities, user interactions, value creation, and the mechanisms that connect them.
Huayao Zhang, Junjie Wu, George Lodorfos, Mingyao Sun, Mickaël Naulleau   +4 more
wiley   +1 more source

Inverse multi-principal element alloys design via conditional wasserstein generative adversarial network. [PDF]

Sci Rep
Acquah Forson C, Gerashi E, Zhao Y, Hatefi A, Alidokht SA.   +4 more
europepmc   +1 more source

Artificial Intelligence in Dermatology: Current Applications and Future Directions

JEADV Clinical Practice, EarlyView.
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde, Francisco Flores   +1 more
wiley   +1 more source